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@dcaox dcaox commented Oct 30, 2025

Summary by CodeRabbit

  • New Features

    • Added math benchmark dataset with 30 Q&A pairs.
    • Enhanced benchmarking with ground truth validation and per-round latency measurement.
    • Added configurable CLI parameters (dataset selection, repeat times, tensor parallelism).
    • Improved voting policy framework with refined task selection logic.
  • Documentation

    • Added comprehensive DeepConf integration guide covering workflows, controller architecture, and usage examples.

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@dcaox dcaox requested a review from a team as a code owner October 30, 2025 04:57
@dcaox dcaox requested review from chzblych and laikhtewari October 30, 2025 04:57
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dcaox commented Oct 30, 2025

/bot run --disable-fail-fast

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PR_Github #22984 [ run ] triggered by Bot. Commit: 3e8e1af

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📝 Walkthrough

Walkthrough

The pull request introduces benchmarking scaffolding to a DeepConf system by adding a dataset file, utility functions for answer parsing and prompt construction, comprehensive documentation, refactored voting logic with policy-driven task selection, and extended benchmarking capabilities to the generation runner with timing instrumentation and accuracy tracking.

Changes

Cohort / File(s) Summary
Data and Documentation
examples/scaffolding/contrib/DeepConf/brumo_2025.jsonl, tensorrt_llm/scaffolding/contrib/DeepConf/README.md
New JSONL dataset with 30 math QA pairs for benchmarking; new README documenting DeepConf integration, controller architecture, parameters, workflows, and usage commands.
Generation Scaffolding
examples/scaffolding/contrib/DeepConf/run_generation.py
Added BenchResult dataclass; extended run_scaffolding_llm API with repeat_times, ground_truth, and kwargs parameters; added majority-vote aware instrumentation collecting per-policy accuracy; added benchmarking flow with per-round latency measurement; added CLI arguments (top_k, qid, dataset, repeat_times, tensor_parallel_size); dataset loading and prompt building via new utilities.
Utility Functions
examples/scaffolding/contrib/DeepConf/utils.py
New module with quick_parse (LaTeX wrapper removal), equal_func (normalized answer comparison with math_equal fallback), and prepare_prompt (model-aware chat template generation for DeepSeek and generic models).
Voting Logic Refactoring
tensorrt_llm/scaffolding/contrib/DeepConf/deep_conf_utils.py
Refactored majority_vote to use policy-to-task mapping dictionary replacing match-case branching; changed return type to tuple of (policy dict, task); added output_token_num computation; handles 8 voting policies including single_vote, basic_majority_vote, confidence-weighted variants, and filtered variants.

Sequence Diagram

sequenceDiagram
    participant Main as main()
    participant Prep as prepare_prompt()
    participant Run as run_scaffolding_llm()
    participant Vote as majority_vote()
    participant Extract as extract_answer_from_boxed()
    participant Bench as BenchResult
    
    Main->>Main: Load dataset from JSONL
    Main->>Main: Select question by id
    Main->>Prep: Prepare prompt with tokenizer
    Prep-->>Main: Return formatted prompt
    
    Main->>Run: Call with repeat_times, ground_truth
    loop For repeat_times iterations
        Run->>Vote: Select task via policy mapping
        Vote-->>Run: Return (policy_dict, selected_task)
        Run->>Extract: Extract answer from result
        Extract-->>Run: Return parsed answer
        Run->>Run: Compare with ground_truth
        Run->>Bench: Accumulate per-policy stats
    end
    Run-->>Main: Return BenchResult with aggregated accuracy
    Main->>Main: Print per-policy accuracy & median time
Loading

Estimated code review effort

🎯 4 (Complex) | ⏱️ ~45 minutes

  • deep_conf_utils.py: Breaking change in majority_vote return type (now returns tuple instead of single value); policy-to-task dictionary mapping requires verification of all 8 voting policy cases and edge case handling for empty tasks.
  • run_generation.py: New benchmarking infrastructure with timing instrumentation; integration between BenchResult dataclass, majority voting, and ground truth evaluation; multiple new CLI parameters with updated defaults require consistency checking.
  • run_generation.py / utils.py integration: Verify extract_answer_from_boxed usage and equal_func integration with prepare_prompt for end-to-end benchmarking flow.
  • Prompt generation logic in utils.py: DeepSeek-specific template vs. generic model branching; tokenizer.apply_chat_template behavior with locale/date context.

Pre-merge checks and finishing touches

❌ Failed checks (2 warnings)
Check name Status Explanation Resolution
Description Check ⚠️ Warning The pull request description is largely incomplete. While the PR body contains the template structure with section headers for "Description" and "Test Coverage," these critical sections are entirely blank with no substantive content provided by the author. The description section should explain what issue is being addressed and the solution provided, and the test coverage section should list relevant tests that safeguard the changes. The PR body essentially only contains template guidance text and an uncompleted checklist, without any explanation of the benchmarking implementation, its purpose, or test coverage for the new code paths.
Docstring Coverage ⚠️ Warning Docstring coverage is 33.33% which is insufficient. The required threshold is 80.00%. You can run @coderabbitai generate docstrings to improve docstring coverage.
✅ Passed checks (1 passed)
Check name Status Explanation
Title Check ✅ Passed The pull request title "[None][feat] Add benchmark to DeepConf" is concise, specific, and accurately reflects the main objective of the changeset. According to the raw summary, the primary change is the introduction of benchmarking scaffolding to DeepConf, including a BenchResult dataclass, extended run_scaffolding_llm API with repeat_times and ground_truth parameters, timing measurements, and majority-vote aware instrumentation. The title clearly conveys this core feature addition without being vague or misleading, and it follows the repository's title format template correctly.
✨ Finishing touches
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🧪 Generate unit tests (beta)
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  • Post copyable unit tests in a comment

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Actionable comments posted: 2

📜 Review details

Configuration used: Path: .coderabbit.yaml

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 7d3cebf and 3e8e1af.

📒 Files selected for processing (5)
  • examples/scaffolding/contrib/DeepConf/brumo_2025.jsonl (1 hunks)
  • examples/scaffolding/contrib/DeepConf/run_generation.py (7 hunks)
  • examples/scaffolding/contrib/DeepConf/utils.py (1 hunks)
  • tensorrt_llm/scaffolding/contrib/DeepConf/README.md (1 hunks)
  • tensorrt_llm/scaffolding/contrib/DeepConf/deep_conf_utils.py (3 hunks)
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  • examples/scaffolding/contrib/DeepConf/utils.py
  • tensorrt_llm/scaffolding/contrib/DeepConf/deep_conf_utils.py
  • examples/scaffolding/contrib/DeepConf/run_generation.py
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Files:

  • examples/scaffolding/contrib/DeepConf/utils.py
  • tensorrt_llm/scaffolding/contrib/DeepConf/deep_conf_utils.py
  • examples/scaffolding/contrib/DeepConf/run_generation.py
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Files:

  • examples/scaffolding/contrib/DeepConf/utils.py
  • tensorrt_llm/scaffolding/contrib/DeepConf/deep_conf_utils.py
  • examples/scaffolding/contrib/DeepConf/run_generation.py
🧠 Learnings (1)
📓 Common learnings
Learnt from: venkywonka
PR: NVIDIA/TensorRT-LLM#6029
File: .github/pull_request_template.md:45-53
Timestamp: 2025-08-27T17:50:13.264Z
Learning: For PR templates in TensorRT-LLM, avoid suggesting changes that would increase developer overhead, such as converting plain bullets to mandatory checkboxes. The team prefers guidance-style bullets that don't require explicit interaction to reduce friction in the PR creation process.
🧬 Code graph analysis (1)
examples/scaffolding/contrib/DeepConf/run_generation.py (4)
examples/scaffolding/contrib/DeepConf/utils.py (2)
  • equal_func (21-28)
  • prepare_prompt (31-54)
tensorrt_llm/scaffolding/worker.py (2)
  • TRTLLMWorker (134-250)
  • init_with_new_llm (146-181)
tensorrt_llm/scaffolding/math_utils.py (1)
  • extract_answer_from_boxed (14-53)
tensorrt_llm/scaffolding/contrib/DeepConf/deep_conf_controller.py (2)
  • DeepConfOnlineMajorityVoteController (125-211)
  • DeepConfOfflineMajorityVoteController (43-76)
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tensorrt_llm/scaffolding/contrib/DeepConf/README.md

[style] ~7-~7: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
Context: ...rated into existing serving frameworks. It achieves up to 99.9% accuracy on AIME 2...

(ENGLISH_WORD_REPEAT_BEGINNING_RULE)

🪛 markdownlint-cli2 (0.18.1)
tensorrt_llm/scaffolding/contrib/DeepConf/README.md

82-82: Fenced code blocks should have a language specified

(MD040, fenced-code-language)

🪛 Ruff (0.14.2)
examples/scaffolding/contrib/DeepConf/utils.py

41-41: String contains ambiguous (FULLWIDTH COMMA). Did you mean , (COMMA)?

(RUF001)


41-41: String contains ambiguous (FULLWIDTH COMMA). Did you mean , (COMMA)?

(RUF001)

tensorrt_llm/scaffolding/contrib/DeepConf/deep_conf_utils.py

120-120: Standard pseudo-random generators are not suitable for cryptographic purposes

(S311)


136-136: Standard pseudo-random generators are not suitable for cryptographic purposes

(S311)

examples/scaffolding/contrib/DeepConf/run_generation.py

73-73: Unused function argument: kwargs

(ARG001)


222-222: f-string without any placeholders

Remove extraneous f prefix

(F541)

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PR_Github #22984 [ run ] completed with state SUCCESS. Commit: 3e8e1af
/LLM/main/L0_MergeRequest_PR pipeline #17326 completed with status: 'FAILURE'

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dcaox commented Oct 30, 2025

/bot run --disable-fail-fast

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PR_Github #23030 [ run ] triggered by Bot. Commit: 3e8e1af

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PR_Github #23030 [ run ] completed with state SUCCESS. Commit: 3e8e1af
/LLM/main/L0_MergeRequest_PR pipeline #17365 completed with status: 'FAILURE'

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dcaox commented Oct 31, 2025

/bot run --disable-fail-fast

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PR_Github #23100 [ run ] triggered by Bot. Commit: 3e8e1af

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PR_Github #23100 [ run ] completed with state SUCCESS. Commit: 3e8e1af
/LLM/main/L0_MergeRequest_PR pipeline #17420 completed with status: 'FAILURE'

@dcaox dcaox force-pushed the docao/add_benchmark_to_deepconf branch from 3e8e1af to 11c8278 Compare November 3, 2025 01:48
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dcaox commented Nov 3, 2025

/bot run --disable-fail-fast

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PR_Github #23309 [ run ] triggered by Bot. Commit: 11c8278

Signed-off-by: Dong Cao <docao@nvidia.com>
@dcaox dcaox force-pushed the docao/add_benchmark_to_deepconf branch from 11c8278 to 3aad2b9 Compare November 3, 2025 04:08
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dcaox commented Nov 3, 2025

/bot run --disable-fail-fast

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PR_Github #23330 [ run ] triggered by Bot. Commit: 3aad2b9

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PR_Github #23309 [ run ] completed with state ABORTED. Commit: 11c8278
LLM/main/L0_MergeRequest_PR #17562 (Blue Ocean) completed with status: ABORTED

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PR_Github #23330 [ run ] completed with state SUCCESS. Commit: 3aad2b9
/LLM/main/L0_MergeRequest_PR pipeline #17578 completed with status: 'SUCCESS'

@dcaox dcaox merged commit 2ff772e into NVIDIA:main Nov 3, 2025
5 checks passed
fredricz-20070104 pushed a commit to fredricz-20070104/TensorRT-LLM that referenced this pull request Nov 5, 2025
Signed-off-by: Dong Cao <docao@nvidia.com>
Signed-off-by: FredricZ-2007 <226039983+fredricz-20070104@users.noreply.github.com>
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